Applied Sciences (Nov 2018)

A Simple Model to Predict Machined Depth and Surface Profile for Picosecond Laser Surface Texturing

  • Jieyu Xian,
  • Xingsheng Wang,
  • Xiuqing Fu,
  • Zhengwei Zhang,
  • Lu Liu,
  • Min Kang

DOI
https://doi.org/10.3390/app8112111
Journal volume & issue
Vol. 8, no. 11
p. 2111

Abstract

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A simple mathematical model was developed to predict the machined depth and surface profile in laser surface texturing of micro-channels using a picosecond laser. Fabrication of micro-craters with pulse trains of different numbers was initially performed. Two baseline values from the created micro-craters were used to calculate the estimated simulation parameters. Thereafter, the depths and profiles with various scanning speeds or adjacent intervals were simulated using the developed model and calculated parameters. Corresponding experiments were conducted to validate the developed mathematical model. An excellent agreement was obtained for the predicted and experimental depths and surface profiles. The machined depth decreased with the increase of scanning speed or adjacent interval.

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